Wednesday Research Seminar Series - Identity matching of social network users across multiple online social networks: A natural language processing and machine learning approach

We are pleased to invite you to our Wednesday Research Seminar. It will be held online via MS Teams on 9th April. Wednesday Research Seminar Series was launched in 2008 and has featured more than 370 presentations to date. The seminars provide a forum for researchers to share their work. Presenters include faculty from Middlesex University Dubai and other universities in the United Arab Emirates, as well as researchers from other global institutions.  Deepesh will present his work on:

“Identity matching of social network users across multiple online social networks: A natural
language processing and machine learning approach.”

 Deepesh Kumar Srivastava

Abstract

Identity matching of online social networks’ users can enable us to have a better and holistic understanding of their behavior and personality. Major challenges in developing a reliable and scalable matching scheme for online identities include non-availability of required information or having contradictory information for the same user across these networks. This research presents a scheme for identity matching which utilizes important features extracted from contents generated by or shared with users across one’s online social networks. With the help of natural language processing and text mining techniques, we extract and process parts-of-speech, symbols, emoticons, numbers, and high frequency words in user’s posts, tweets, retweets, and URLs. On the basis of experiments with ground truth Twitter–Facebook real datasets, this method achieved a high accuracy in matching user’s identity across the user’s profiles. The main contribution of this research is that this proposes a novel method for identity matching, which utilizes only the publicly available content information of online social network users. This method can be used alone for identity matching, or can be used along with other identity resolution frameworks to enhance their accuracy.

Presenter Bios

Dr. Deepesh Kumar Srivastava is an Assistant Professor in the area of Information Management and Data Science. He holds a Ph.D. in Information Systems and Analytics from the Indian Institute of Management Shillong and a Master of Technology in Computer Science and Engineering from the Indian Institute of Technology Dhanbad. His teaching and research interests include business analytics, natural language processing, deep learning, large language models, social media analytics, machine learning and artificial intelligence. He has over 12 years of professional experience encompassing industry, academia, research, and executive training. Dr. Srivastava’s research has been published in several reputed journals listed under the Australian Business Deans Council (ABDC), Scopus, and Web of Science, including Knowledge-Based Systems, Journal of Database Management, and Journal of Global Information Technology Management. He has also earned multiple prestigious international certifications, including “Big Data for Social Good” from Harvard Business School, USA, and professional certifications as a practitioner-instructor in Data Science, Artificial Intelligence, and Enterprise Design Thinking from IBM, USA. In addition to his academic achievements, Dr. Srivastava has been actively involved in consultancy projects. Dr. Srivastava has contributed to the academic community through various professional activities. He served as a Session Chair at various International Conferences on data science and analytics. He is also a dedicated reviewer for several reputed journals, including the International Journal of Intelligent Enterprise, European Journal of International Relations, Technology in Society, Global Business and Economics Review, International Journal of Business Information Systems, and Engineering Applications of Artificial Intelligence. Furthermore, he has been an invited reviewer for a number of academic conferences and doctoral colloquiums. He was also a reviewer for the many International Conferences on Machine Learning and Knowledge Economy